计算机科学 ›› 2015, Vol. 42 ›› Issue (Z6): 175-179.
张军,戴 霞
ZHANG Jun and DAI Xia
摘要: 提出一种基于图像几何变形的视频细微运动增强算法,该算法可在不放大图像噪声的前提下,揭示视频中人眼无法察觉的细微运动信息。其融合了Eulerian和Lagrangian对运动目标描述的形式,以Eulerian视频增强算法(Eulerian Video Magnification,EVM)作为时-空滤波器,通过逐帧检测视频中像素级运动信息建立运动映射图,再根据该运动映射图以Lagrangian的形式计算几何变形网格。最后,使用变形网格对原始输入视频的每一帧图像进行几何变形,放大视频中细微运动目标的运动幅度。实验结果表明,提出的视频运动增强算法能显著降低图像噪声对输出视频画面质量的影响,其视频数据处理管线具备较高的可扩展性,适合于引入先进图像预处理和网格以进一步提高输出视频画面的质量。
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